Explainable Deep Learning Method for Video Forgery Detection

With recent technological advancement, a huge number of videos are created every day, and they are playing more and more important role in many application areas, such as communication, entertainment, social media, education, medicine, and surveillance. In many cases, videos contain significant information, whose authenticity is crucial. Unfortunately, forged videos can be easily created thanks to many digital image/video editing tools that are readily available for common people to manipulate images/videos. This project will develop some tools to detect forged videos. 

The aim of this project is to develop deep learning-based video forgery detection methods that can identify forged videos and explain how the videos are forged. Explainable deep learning architectures are designed and tested for video forgery detection. Hierarchical methods are investigated, which involve extracting features from pixels, blocks, images, to videos levels and building links between the features and different types of forgery attacks. Visual dictionaries will also be explored for enhancing explanation.

Keywords: Video forgery detection, Explainable deep learning.

Contact for information on the project: [Email Address Removed]

Academic criteria: A 2:1 Honours undergraduate degree or a master's degree, in computing or a related subject. Applicants with appropriate professional experience are also considered. Degree-level mathematics (or equivalent) is required for research in some project areas.

Applicants for whom English is not their first language must demonstrate proficiency by obtaining an IELTS score of at least 6.5 overall, with a minimum of 6.0 in each skills component.

How to apply:

Please contact the supervisors of the project prior to submitting your application to discuss and develop an individual research proposal that builds on the information provided in this advert. Once you have developed the proposal with support from the supervisors, please submit your application following the instructions provided below

Please submit your application before the application deadline 29th April 2022 via Computer Science and Informatics - Study - Cardiff University

In order to be considered candidates must submit the following information: 

• Supporting statement 
• CV 
• In the ‘Research Proposal’ section of the application enter the name of the project you are applying to and upload your Individual research proposal, as mentioned above in BOLD
• In the funding field of your application, insert “I am applying for 2022 PhD Scholarship in Computer Science and Informatics”, and specify the project title and supervisors of this project in the text box provided.
• Qualification certificates and Transcripts
• References x 2 
• Proof of English language (if applicable)

Interview - If the application meets the entrance requirements, you will be invited to an interview

If you have any questions or need more information, please contact [Email Address Removed]